IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v138y2022icp301-310.html
   My bibliography  Save this article

Does “investment climate” affect GDP? Panel data evidence using reduced-form and stochastic frontier analysis

Author

Listed:
  • Pal, Debdatta
  • Mitra, Subrata K.
  • Chatterjee, Somdeep

Abstract

It is often believed that investment enhances welfare, particularly through channels of capital creation, employment generation, and output growth. Two commonly used measures of a nation’s ability to attract investment are the Global Competitiveness Index (GCI) and the Ease of Doing Business Index (EDBI). This paper attempts to estimate the causal link between these indices and per capita Gross Domestic Product (GDP). A positive relation between these would essentially vindicate the theory that better investment implies better prosperity. Two complementary methods are used for estimating the effects, viz, reduced form analysis and stochastic frontier analysis (SFA). SFA is an appealing method but to have a convincing SFA setup and eventually get at causal estimates, endogeneity issues need to be addressed. Reduced form setting using fixed effects and proxy variables provides the required foundation for the SFA. Overall, we find evidence of a positive relation between GCI and per capita GDP.

Suggested Citation

  • Pal, Debdatta & Mitra, Subrata K. & Chatterjee, Somdeep, 2022. "Does “investment climate” affect GDP? Panel data evidence using reduced-form and stochastic frontier analysis," Journal of Business Research, Elsevier, vol. 138(C), pages 301-310.
  • Handle: RePEc:eee:jbrese:v:138:y:2022:i:c:p:301-310
    DOI: 10.1016/j.jbusres.2021.08.066
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296321006354
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2021.08.066?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Acs, Zoltan J. & Szerb, László, 2009. "The Global Entrepreneurship Index (GEINDEX)," Foundations and Trends(R) in Entrepreneurship, now publishers, vol. 5(5), pages 341-435, August.
    2. Krueger, Anne O, 1990. "Government Failures in Development," Journal of Economic Perspectives, American Economic Association, vol. 4(3), pages 9-23, Summer.
    3. Bhagwati, Jagdish N, 1982. "Directly Unproductive, Profit-seeking (DUP) Activities," Journal of Political Economy, University of Chicago Press, vol. 90(5), pages 988-1002, October.
    4. Dong, Yizhe & Hamilton, Robert & Tippett, Mark, 2014. "Cost efficiency of the Chinese banking sector: A comparison of stochastic frontier analysis and data envelopment analysis," Economic Modelling, Elsevier, vol. 36(C), pages 298-308.
    5. Pinheiro-Alves, Ricardo & Zambujal-Oliveira, João, 2012. "The Ease of Doing Business Index as a tool for investment location decisions," Economics Letters, Elsevier, vol. 117(1), pages 66-70.
    6. Kopsakangas-Savolainen, Maria & Svento, Rauli, 2011. "Observed and unobserved heterogeneity in stochastic frontier models: An application to the electricity distribution industry," Energy Economics, Elsevier, vol. 33(2), pages 304-310, March.
    7. Zoltán J. Ács & Erkko Autio & László Szerb, 2015. "National Systems of Entrepreneurship: Measurement issues and policy implications," Chapters, in: Global Entrepreneurship, Institutions and Incentives, chapter 28, pages 523-541, Edward Elgar Publishing.
    8. Simeon Djankov & Rafael La Porta & Florencio Lopez-de-Silanes & Andrei Shleifer, 2002. "The Regulation of Entry," The Quarterly Journal of Economics, Oxford University Press, vol. 117(1), pages 1-37.
    9. Robert Lensink & Aljar Meesters, 2014. "Institutions and Bank Performance: A Stochastic Frontier Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(1), pages 67-92, February.
    10. Wang, Hung-Jen & Ho, Chia-Wen, 2010. "Estimating fixed-effect panel stochastic frontier models by model transformation," Journal of Econometrics, Elsevier, vol. 157(2), pages 286-296, August.
    11. Chen, Jinzhao & Quang, Thérèse, 2014. "The impact of international financial integration on economic growth: New evidence on threshold effects," Economic Modelling, Elsevier, vol. 42(C), pages 475-489.
    12. Bos, J.W.B. & Economidou, C. & Koetter, M., 2010. "Technology clubs, R&D and growth patterns: Evidence from EU manufacturing," European Economic Review, Elsevier, vol. 54(1), pages 60-79, January.
    13. Hermes, Niels & Lensink, Robert & Meesters, Aljar, 2011. "Outreach and Efficiency of Microfinance Institutions," World Development, Elsevier, vol. 39(6), pages 938-948, June.
    14. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    15. Abhijit V. Banerjee & Esther Duflo, 2009. "The Experimental Approach to Development Economics," Annual Review of Economics, Annual Reviews, vol. 1(1), pages 151-178, May.
    16. Sickles,Robin C. & Zelenyuk,Valentin, 2019. "Measurement of Productivity and Efficiency," Cambridge Books, Cambridge University Press, number 9781107036161.
    17. Jonathan Temple, 1999. "The New Growth Evidence," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 112-156, March.
    18. Kochhar, Kalpana & Kumar, Utsav & Rajan, Raghuram & Subramanian, Arvind & Tokatlidis, Ioannis, 2006. "India's pattern of development: What happened, what follows?," Journal of Monetary Economics, Elsevier, vol. 53(5), pages 981-1019, July.
    19. N. Gregory Mankiw & David Romer & David N. Weil, 1992. "A Contribution to the Empirics of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(2), pages 407-437.
    20. Kumbhakar,Subal C. & Wang,Hung-Jen & Horncastle,Alan P., 2015. "A Practitioner's Guide to Stochastic Frontier Analysis Using Stata," Cambridge Books, Cambridge University Press, number 9781107609464, January.
    21. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    22. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    23. Luis Orea, 2012. "Entry deterrence through regional regulation and strict licensing policy: an analysis of the large retail establishments in Spain," Oxford Economic Papers, Oxford University Press, vol. 64(3), pages 539-562, July.
    24. Rajiv D. Banker, 1993. "Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation," Management Science, INFORMS, vol. 39(10), pages 1265-1273, October.
    25. Jinzhao Chen & Thérèse Quang, 2012. "International Financial Integration and Economic Growth: New Evidence on Threshold Effects," PSE Working Papers halshs-00710139, HAL.
    26. Charles I. Jones & Peter J. Klenow, 2016. "Beyond GDP? Welfare across Countries and Time," American Economic Review, American Economic Association, vol. 106(9), pages 2426-2457, September.
    27. Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Vincenzo Atella, 2013. "Stochastic frontier analysis using Stata," Stata Journal, StataCorp LP, vol. 13(4), pages 718-758, December.
    28. Lall, Sanjaya, 2001. "Competitiveness Indices and Developing Countries: An Economic Evaluation of the Global Competitiveness Report," World Development, Elsevier, vol. 29(9), pages 1501-1525, September.
    29. Önsel, Sule & Ülengin, Füsun & Ulusoy, Gündüz & Aktas, Emel & Kabak, Özgür & Topcu, Y. Ilker, 2008. "A new perspective on the competitiveness of nations," Socio-Economic Planning Sciences, Elsevier, vol. 42(4), pages 221-246, December.
    30. Lancaster, Tony, 2000. "The incidental parameter problem since 1948," Journal of Econometrics, Elsevier, vol. 95(2), pages 391-413, April.
    31. Hartarska, Valentina & Shen, Xuan & Mersland, Roy, 2013. "Scale economies and input price elasticities in microfinance institutions," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 118-131.
    32. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, November.
    33. Ayres, Robert & Voudouris, Vlasios, 2014. "The economic growth enigma: Capital, labour and useful energy?," Energy Policy, Elsevier, vol. 64(C), pages 16-28.
    34. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
    35. Charoenrat, Teerawat & Harvie, Charles, 2014. "The efficiency of SMEs in Thai manufacturing: A stochastic frontier analysis," Economic Modelling, Elsevier, vol. 43(C), pages 372-393.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mihaela Brindusa Tudose & Amalia Georgescu & Silvia Avasilcăi, 2023. "Global Analysis Regarding the Impact of Digital Transformation on Macroeconomic Outcomes," Sustainability, MDPI, vol. 15(5), pages 1-21, March.
    2. Wang, Yonglong & Xu, Aidi, 2023. "Green investments and development of renewable energy projects: Evidence from 15 RCEP member countries," Renewable Energy, Elsevier, vol. 211(C), pages 1045-1050.
    3. Qazi, Abroon, 2023. "Exploring Global Competitiveness Index 4.0 through the lens of country risk," Technological Forecasting and Social Change, Elsevier, vol. 196(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    2. Nadide YiÄŸiteli, 2023. "Production Losses Due to Technical Inefficiency: A Panel Data Analysis on the Case of BRICS-T Countries," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(38), pages 53-73, June.
    3. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2021. "What do we know from the vast literature on efficiency and productivity in healthcare? A Systematic Review and Bibliometric Analysis," CEPA Working Papers Series WP092021, School of Economics, University of Queensland, Australia.
    4. Bao Hoang Nguyen & Robin C. Sickles & Valentin Zelenyuk, 2022. "Efficiency Analysis with Stochastic Frontier Models Using Popular Statistical Softwares," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 129-171, Springer.
    5. Nahoussé Diabaté & Mounoufié V. Koffi, 2023. "Analysis of tax effort in WAEMU: How important are institutional/administrative reforms?," African Development Review, African Development Bank, vol. 35(1), pages 1-10, March.
    6. Sugathan, Anish & Malghan, Deepak & Chandrashekar, S. & Sinha, Deepak K., 2019. "Downstream electric utility restructuring and upstream generation efficiency: Productivity dynamics of Indian coal and gas based electricity generators," Energy, Elsevier, vol. 178(C), pages 832-852.
    7. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    8. Abebayehu Girma Geffersa & Frank Wogbe Agbola & Amir Mahmood, 2022. "Modelling technical efficiency and technology gap in smallholder maize sector in Ethiopia: accounting for farm heterogeneity," Applied Economics, Taylor & Francis Journals, vol. 54(5), pages 506-521, January.
    9. Christian Stetter & Johannes Sauer, 2022. "Greenhouse Gas Emissions and Eco-Performance at Farm Level: A Parametric Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 617-647, March.
    10. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    11. Sabrina Auci & Laura Castellucci & Manuela Coromaldi, 2021. "How does public spending affect technical efficiency? Some evidence from 15 European countries," Bulletin of Economic Research, Wiley Blackwell, vol. 73(1), pages 108-130, January.
    12. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    13. Martini, Gianmaria & Scotti, Davide & Viola, Domenico & Vittadini, Giorgio, 2020. "Persistent and temporary inefficiency in airport cost function: An application to Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 999-1019.
    14. Habtamu Alem, 2021. "The Role of Technical Efficiency Achieving Sustainable Development: A Dynamic Analysis of Norwegian Dairy Farms," Sustainability, MDPI, vol. 13(4), pages 1-11, February.
    15. Agostino, Mariarosaria & Ruberto, Sabrina & Trivieri, Francesco, 2023. "The role of local institutions in cooperative banks’ efficiency. The case of Italy," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 84-103.
    16. Michaela Staňková, 2020. "Efficiency Comparison and Efficiency Development of the Metallurgical Industry in the EU: Parametric and Non-parametric Approaches," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 68(4), pages 765-774.
    17. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Xiao, Xing-Zhi & Tian, Zhen-Zhen & Yang, Xiao-Yuan & Wang, Jian-Lin, 2016. "Cost efficiency of electric grid utilities in China: A comparison of estimates from SFA–MLE, SFA–Bayes and StoNED–CNLS," Energy Economics, Elsevier, vol. 55(C), pages 272-283.
    18. Yakubu Abdul-Salam & Euan Phimister, 2017. "Efficiency Effects of Access to Information on Small-scale Agriculture: Empirical Evidence from Uganda using Stochastic Frontier and IRT Models," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 494-517, June.
    19. Xie, Bai-Chen & Zhang, Zhen-Jiang & Anaya, Karim L., 2021. "Has the unbundling reform improved the service efficiency of China's power grid firms?," Energy Economics, Elsevier, vol. 95(C).
    20. Chen, Bowen & Dennis, Elliott J. & Featherstone, Allen, 2022. "Weather Impacts the Agricultural Production Efficiency of Wheat: The Emerging Role of Precipitation Shocks," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(3), September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:138:y:2022:i:c:p:301-310. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.